用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill teams-api-1-rate-limiting命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
正在显示 SKILL.md
| name | teams-api-1-rate-limiting |
| description | Sub-skill of teams-api: 1. Rate Limiting (+2). |
| version | 1.0.0 |
| category | business |
| type | reference |
| scripts_exempt | true |
# Respect Graph API rate limits
import time
from functools import wraps
def rate_limit_handler(max_retries=3):
def decorator(func):
@wraps(func)
async def wrapper(*args, **kwargs):
for attempt in range(max_retries):
try:
return await func(*args, **kwargs)
except Exception as e:
if "429" in str(e): # Too Many Requests
delay = 2 ** attempt
await asyncio.sleep(delay)
else:
raise
raise Exception("Max retries exceeded")
return wrapper
return decorator
# Secure token handling
from azure.identity import DefaultAzureCredential
from functools import lru_cache
@lru_cache()
def get_credential():
"""Get cached Azure credential"""
return DefaultAzureCredential()
# Use managed identity in production
# Use environment variables for local dev
# Adaptive Card best practices
def create_accessible_card():
return {
"type": "AdaptiveCard",
"version": "1.4",
"body": [
{
"type": "TextBlock",
"text": "Important Message",
"size": "large",
"weight": "bolder",
# Always include fallback text
"fallback": "drop"
}
],
# Provide fallback for older clients
"fallbackText": "This card requires a newer Teams client."
}